Hao Zhu                                      

 

Associate Researcher

Nanjing University
School of Electronic Science and Technology
Computational Imaging Technology & Engineering Lab

Email:  zhuhao_photo@nju.edu.cn


About Me

I am now an Associate Researcher in the Computational Imaging Technology & Engineering Lab in Nanjing Univeristy. My research focuses on Computational Imaging, I'm currently focused on light field imaging, including spatial/angular super-resolution and image based rendering.

I'm currently working with Prof. Xun Cao. For students who are interested and have passion in our research area, welcome to join us!


Working and Education
Associate Researcher. 2021.3- ,Computational Imaging Technology & Engineering Lab, School of Electrical Science and Technology, Nanjing, China
Senior Engineer. 2020.1-2021.1, 2012 Lab, Huawei, Beijing, China
Ph.D.  2014.9 - 2020.4, School of Computer Science, Computer Vision and Computational Photography Lab, Northwestern Polytechnical University, Xi'an, China. Supervisor: Qing Wang.
Visiting Student Researcher.  2017.12 - 2018.12, Computer Vision Lab, College of Engineering & Computer Science, Australian National University, Canberra, Australia, Supervisor: Hongdong Li.
B. Eng.  2010.9 - 2014.6, School of Computer Science, Northwestern Polytechnical University, Xi'an, China

Publications


Zhicheng Cai, Hao Zhu, Qiu Shen, Xinran Wang, Xun Cao.  Batch Normalization Allevilates the Spectral bias in Coordinate Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao.  FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Hao Zhu, Shaowen Xie, Zhen Liu, Fengyi Liu, Qi Zhang, You Zhou, Yi Lin, Zhan Ma, Xun Cao.  Disorder-invariant Implicit Neural Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024. Early access.
Yaning Li, Xue Wang, Guoqing Zhou, Hao Zhu, Qing Wang.  Sheared Epipolar Focus Spectrum for Dense Light Field Reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. Early access.
Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David J. Brady, Xun Cao, Zhan Ma, Yi Lin.  Tracking Anything in Heart All at Once, arXiv:2310.02792. Project, Code
Hao Zhu, Fengyi Liu, Qi Zhang, Xun Cao, Zhan Ma.  RHINO: Regularizing the Hash-based Implicit Neural Representation, arXiv:2309.12642.
Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David Brady, Xun Cao, Zhan Ma, Yi Lin,  CardiacField: Computational Echocardiography for Universal Screening, submitted to a journal. 2023. Project, Code
Junyu Zhu, Hao Zhu, Qi Zhang, Fang Zhu, Zhan Ma, Xun Cao,  Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization, IJCV, 2023. Project, Code
Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang,  Dense light field reconstruction based on epipolar focus spectrum, Pattern Recognition, 2023. Early access.
Shaowen Xie, Hao Zhu, Zhen Liu, Qi Zhang, You Zhou, Xun Cao, Zhan Ma,  DINER: Disorder-Invariant Implicit Neural Representation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Highlight paper (2.5% of submission) Project, Code
Zhengxi Song, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang,  Learning Reliable Gradients From Undersampled Circular Light Field for 3D Reconstruction, IEEE Transactions on Visualization and Computer Graphics (T-VCG), 2022. Early access.
Hao Zhu, Zhen Liu, You Zhou, Zhan Ma, Xun Cao,  DNF: Diffractive Neural Field for Lensless Microscopic Imaging, Optics Express, 2022. Paper, Code
Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang,  Deep Anti-Aliasing of Whole Focal Stack Using Slice Spectrum, IEEE Transactions on Computational Imaging (T-CI), 2021.
Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly, Revisiting Spatio-Angular Trade-off in Light Field Camera and Extend Applications in Super-Resolution, IEEE Transactions on Visualization and Computer Graphics (T-VCG), 2021.
Zhengxi Song, Hao Zhu, Qi Wu, Xue Wang, Hongdong Li, Qing Wang, Accurate 3D Reconstruction from Circular Light Field Using CNN-LSTM, International Conference on Multimedia and Expo (ICME), 2020.
Hao Zhu, Xiaoming Sun, Qi Zhang, Qing Wang, Antonio Robles-Kelly, Hongdong Li, Shaodi You, Full View optical Flow Estimation Leveraged from Light Field Superpixel, IEEE Transactions on Computational Imaging (T-CI), 2020.
Hao Zhu, Qi Zhang, Qing Wang, Hongdong Li, 4D Light Field Superpixel and Segmentation, IEEE Transactions on Image Processing (T-IP), 2020.
Mantang Guo, Hao Zhu, Guoqing Zhou, Qing Wang, Dense Light Field Reconstruction from Sparse Sampling Using Residual Network, Asian Conference on Computer Vision (ACCV), 2018.
Hao Zhu, Qi Zhang, Qing Wang, 4D Light Field Superpixel and Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Hao Zhu, Qing Wang, Jingyi Yu, Occlusion-model Guided Anti-occlusion Depth Estimation in Light Field, IEEE Journal of Selected Topics in Signal Processing (J-STSP), 2017.
Hao Zhu, Qing Wang, Jingyi Yu, Light Field Imaging: Models, Calibrations, Reconstructions, and Applications., Frontiers of Information Technology & Electronic Engineering (FITEE), 2017.
Hao Zhu, Qing Wang, An Efficient Anti-occlusion Depth Estimation Using Generalized EPI Representation in Light Field, SPIE Photonics Asia, 2016.
Hao Zhu, Qing Wang, Accurate Disparity Estimation in Light Field using Ground Control Points, Computational Visual Media, 2016.


Services
Reviewer: (since 2017)
IEEE T-PAMI, IEEE T-IP, IEEE SPL, Applied Optics

Honors and Awards
Doctor of Innovation and Entrepreneurship, Jiangsu Province, China, 2022
Outstanding Ph.D student of Northwestern Polytechnical University, 2020
National Scholarship, Northwestern Polytechnical University, 2018
Outstanding undergraduate student of Northwestern Polytechnical University, 2014

Publication Related Codes
Coming soon ......